{"id":"W2957835826","doi":"10.3138/jsp.50.4.03","title":"A Survey of Enhanced Publication Features of China’s Science and Technology Research Journals in 2018","year":2019,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Publishing; Presentation (obstetrics); Discipline; Library science; Quarter (Canadian coin); Political science; Computer science; Sociology; Social science; Geography; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004867747,0.0002344513,0.0003993273,0.00791378,0.0008226564,0.001800973,0.0006467396,0.0004463656,0.002420518],"category_scores_gemma":[0.02172164,0.0002003891,0.0003382305,0.01310087,0.0005327279,0.002067068,0.0009173881,0.0003626208,0.0004298913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287473,"about_ca_system_score_gemma":0.002527968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003237608,"about_ca_topic_score_gemma":0.004216915,"domain_scores_codex":[0.9948273,0.0007514206,0.001432205,0.0004422118,0.002155482,0.0003912388],"domain_scores_gemma":[0.9494558,0.01292412,0.02126729,0.001952623,0.01054186,0.003858349],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001578765,0.00007225134,0.9158749,0.0008540328,0.0001051162,0.000627381,0.004507437,0.0001104341,0.00305896,0.0005276566,0.002618744,0.07148528],"study_design_scores_gemma":[0.000008028403,0.00009132349,0.987711,0.0000978211,0.00003894548,0.0005030997,0.001901326,0.0001632056,0.0006590921,0.00009441725,0.008708715,0.00002291038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909333,0.003200756,0.0002107268,0.000765989,0.00004087888,0.0000461423,0.001460958,0.00003696732,0.003304432],"genre_scores_gemma":[0.9941355,0.00281679,0.000523183,0.0002144647,0.00009048606,0.00003150099,0.001208739,0.0000111932,0.000968058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9951323,"threshold_uncertainty_score":0.02574342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1599577468356091,"score_gpt":0.4607574699969299,"score_spread":0.3007997231613208,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}